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Data Analytics Intern Jobs in Bothell, WA (NOW HIRING)

The Energy Authority Inc

Trading Intern, West

Bellevue, WA · On-site

$18.70 - $25.30/hr

Analyze deal flow and collaborate with settlements on liquidated damages * Monitor performance ... Monitor real-time data feeds and respond to changing portfolio conditions * Coordinate scheduling ...

Vigor, LLC

Project Management Intern

Seattle, WA · On-site

$23.08 - $26.44/hr

The Intern role is intended to be a learning and contributing position. The position, within the ... Use data analysis to help guide the program * Identify areas of concerns or areas of opportunity

Vigor Marine LLC

Project Management Intern

Seattle, WA

$23.08 - $26.44/hr

The Intern role is intended to be a learning and contributing position. The position, within the ... Use data analysis to help guide the program * Identify areas of concerns or areas of opportunity

New

Sunbelt Controls

Intern (Sunbelt Controls)

Seattle, WA · On-site

$18 - $25/hr

Under direction of the Engineering Manager, the Engineering Intern position will work primarily ... data analytics and fault detection diagnostics. We lead the industry with building control products ...

Sunbelt Controls

Intern (Sunbelt Controls)

Seattle, WA · On-site

$18 - $25/hr

Under direction of the Engineering Manager, the Engineering Intern position will work primarily ... data analytics and fault detection diagnostics. We lead the industry with building control products ...

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All JobsData Analytics Intern JobsData Analytics Intern Jobs in Bothell, WA

Data Analytics Intern information

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$13

$25

$47

How much do data analytics intern jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for data analytics intern in Bothell, WA is $25.16, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $27.40 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Intern, and why are they important?

To thrive as a Data Analytics Intern, you need a solid understanding of statistics, data analysis, and proficiency in programming languages like Python or R, often supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for drawing meaningful insights from data and supporting decision-making processes within an organization.

What are the big 4 internships?

The Big 4 internships typically refer to summer internship programs at Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas like audit, consulting, tax, and advisory, providing valuable experience for aspiring professionals in fields such as data analytics, accounting, and finance.

What are some common challenges Data Analytics Interns face during their internship, and how can they overcome them?

Data Analytics Interns often encounter challenges such as working with large and complex datasets, learning new analytical tools and programming languages on the job, and translating data findings into actionable insights for non-technical stakeholders. To overcome these challenges, interns should proactively seek guidance from mentors, take advantage of available training resources, and communicate regularly with team members to clarify project goals. Developing strong problem-solving skills and being open to feedback also helps interns grow and succeed in the role.

What does a Data Analytics Intern do?

A Data Analytics Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with tools like Excel, SQL, and data visualization software to identify trends, create reports, and support business objectives. Interns often collaborate with data analysts and other team members to gain practical experience and develop their technical skills. Their work may involve cleaning datasets, running basic analyses, and presenting findings to stakeholders.

What is the difference between Data Analytics Intern vs Data Analyst?

AspectData Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, independent project work, more responsibility
Employer & Industry UsageInternships in various industries, training rolesFull-time roles across industries like finance, tech, healthcare
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill development, salary expectations

The main difference between a Data Analytics Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as training grounds, whereas Data Analysts are expected to independently analyze data and contribute to decision-making processes.

How to get a data analyst intern?

To become a data analyst intern, candidates should develop skills in data analysis tools like Excel, SQL, or Python, and build a strong understanding of statistics and data visualization. Gaining relevant experience through coursework, projects, or certifications can improve chances, and applying to internships through company career portals or job boards is essential. Strong communication skills and a willingness to learn are also important for securing an internship in this field.

What does a data analyst intern do?

A data analyst intern assists in collecting, cleaning, and analyzing data to identify trends and support decision-making. They often use tools like Excel, SQL, or Python and work under supervision to develop reports and visualizations that help organizations understand their data.

Is AI replacing data analysts?

AI tools are automating certain tasks in data analysis, such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking and domain knowledge that AI cannot fully replicate, making the profession unlikely to be fully replaced by AI in the near future.
What are the most commonly searched types of Data Analytics jobs in Bothell, WA? The most popular types of Data Analytics jobs in Bothell, WA are:
What job categories do people searching Data Analytics Intern jobs in Bothell, WA look for? The top searched job categories for Data Analytics Intern jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Data Analytics Intern jobs? Cities near Bothell, WA with the most Data Analytics Intern job openings:
Data Analytics Intern jobs near you
Applied Science: PhD Microsoft AI Internship Opportunities - Redmond

Applied Science: PhD Microsoft AI Internship Opportunities - Redmond

Microsoft

Redmond, WA • On-site

$8.9K - $14K/mo

Full-time, Internship

Posted 9 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

49th of 191 rated software companies

Job description

Overview
Bring your passion for innovation and research to a team at the forefront of artificial intelligence and machine learning. If you're eager to make significant contributions across user engagement, intelligent experiences, and real product scenarios, this opportunity within Microsoft AI Content and Commerce, Search Fundamentals, and Search Place will excite you.
As an Applied Scientist PhD Intern, you will apply your expertise in areas such as supervised and unsupervised learning, deep learning (especially transformers and sequence modeling), reinforcement learning for optimizing user outcomes, and advanced data science techniques. You'll translate complex business challenges-spanning search, personalization, natural language processing, computer vision, and recommendation systems-into practical, impactful solutions using Azure and other cloud-based technologies. Your experience with statistical analysis, hypothesis testing, large datasets, and deploying robust data pipelines will be valued as you drive research into production.
This role allows you to shape the future of Copilot and intelligent content, influencing Microsoft's direction as you directly support our overarching mission and vision.
At Microsoft, our mission to empower every person and every organization on the planet to achieve more guides how we partner with customers to deliver trusted, impactful solutions. With a growth-mindset culture, we innovate responsibly and measure success by shared progress, people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what's next for everyone.
Please note this application is only for internships based in our Redmond, Washington office. For internships in other offices in the United States, please see our Careers site.
Responsibilities
  • Analyze and improve advanced machine learning algorithms and systems at scale, optimizing performance across large, complex datasets.
  • Translate product scenarios and user needs into applied ML problems; design and execute experiments to validate, iterate, and optimize solutions.
  • Develop and scale models for search, ranking, recommendations, retrieval, and language understanding using modern AI techniques (e.g., deep learning, reinforcement learning, probabilistic methods).
  • Prepare, clean, and curate high-quality datasets-identifying data quality issues, defining inclusion criteria, and enabling robust feature development.
  • Build and enhance data and ML pipelines (data collection, preparation, modeling), applying statistical methods to validate assumptions and evaluate model performance.
  • Collaborate cross-functionally with scientists, engineers, and product stakeholders to iterate on ideas and deliver real-world, product-integrated solutions.
  • Communicate technical insights and experimental results clearly, while continuously incorporating emerging research, tools, and industry trends to improve solution quality and efficiency.

Qualifications
Required Qualifications
  • Currently pursuing a Doctorate Degree in Statistics, Econometrics, Computer Science, Artificial Intelligence, Electrical or Computer Engineering, or related field.
  • Must have at least one additional quarter/semester of school remaining following the completion of the internship.
  • Candidate must be enrolled in a full time PhD program in area relevant for the role during the academic term immediately before their internship.

Preferred Qualifications
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
    • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
    • Equivalent experience.
  • Explore product challenges using state of the art solutions.
  • Research publications, coursework, or project experience relevant to search, language models, recommender systems, geospatial or location intelligence, or content and commerce systems.
  • Experience running controlled experiments and interpreting offline and online evaluation metrics.
  • Familiarity with large-scale distributed systems or productionizing applied science solutions.
  • Passion for building AI experiences that improve relevance, discovery, personalization, and end-user satisfaction.

The base pay range for this internship is USD $6,810.00 - $13,480.00 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,920.00 - $14,610.00 per month.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-intern-pay
Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar
(September - April)
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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